Title :
Two channel segmentation of EEG
Author :
Gath, I. ; Michaeli, A.
Author_Institution :
Dept. of Biomed. Eng., Technion, Haifa, Israel
Abstract :
Dual-channel adaptive segmentation of the electroencephalogram (EEG) signal is proposed. The purpose is to divide the signals into quasi-stationary segments, on the basis of information common for the two channels. The segment boundary is determined by changes in the cross spectrum of the two signals. It has been shown theoretically, as well as by simulation studies, that this method is sensitive to changes common to both channels, whereas segmentation does not occur as a result of changes in each channel separately
Keywords :
electroencephalography; signal processing; cross spectrum; dual-channel adaptive segmentation; electroencephalogram; quasi-stationary segments; segment boundary; Biomedical engineering; Biomedical measurements; Brain modeling; Decision making; Electroencephalography; Epilepsy; Feature extraction; Lesions; Rats; Signal processing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96408
